iPad17,4
Geekbench AI Score
5258
Single Precision Score
8595
Half Precision Score
6806
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
3737
695.0 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3286
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3553
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10982
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20943
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17839
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4208
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2934
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4758
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8431
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4722
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9119
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15259
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10549
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27300
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41273
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33719
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5986
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7214
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5159
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5498
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5077
87.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9490
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9602
165.9 IPS |
